Research Associate - Artificial Intelligence for Healthcare (Fixed Term)

Fixed-term: The funds for this post are available until 31 January 2025.

Would you like to help build the University of Cambridge's AI for science community and help NHS in assisting medical diagnosis and treatments?

The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges, based at the Department of Computer Science and Technology https://www.cst.cam.ac.uk

Working across disciplines within the University, Accelerate is advancing research at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice.

We are looking for a Research Associate to join our team, working on an interdisciplinary AI for healthcare project exploring the interfaces that can facilitate effective interactions between health sciences and AI. This project could explore different aspects of health data to develop models and predict important outcomes to support healthcare sector. Project partners include the Centre for Integrative Neuroscience Discovery (CIND) at Department of Neuroscience and the Centre for Advanced Photonics and Electronics (CAPE) and Bioelectronics lab at the Department of Engineering at University of Cambridge, Royal Papworth hospital, Alan Turing Institute, and Haleon, who provide guidance, support and opportunities for the project members to seek training and collaborations to widen expertise knowledge.

The successful applicant will be expected to have following core skills and experiences:

• Candidates will have completed a Ph.D (or be close to completing) in a computer science, engineering, computational neuroscience or relevant specialist subject with a strong emphasis on AI or a first degree in life sciences (neuroscience or psychiatry in particular) with a postgraduate degree in AI or ML, or equivalent.

• Strong motivation for developing AI solutions for real world problems

• Excellent programming skills with Python AI/ML libraries and any other AL/ML programming platforms

• Experience in working with large datasets

• Organisational skills and the ability to manage their own workload

• Communication skills and the ability to communicate research clearly to diverse stakeholders

If you have any questions about this vacancy, please contact [email protected]

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide support in the visa process (if required), and we reimburse the cost of the first visa.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

You will need to upload a CV and publications list (max 2 pages), a covering letter outlining how your experience relates to this post's core skills and experience (max 2 pages), a short summary (max. 1 page) setting out your view on "what role do you believe in research and software engineering can play in contributing to develop AI for health sciences?" and the names of two referees. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR40612 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information
Apply online